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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sahalshajim/ss-owformer
공식 코드https://github.com/sai90000/scientifichypothesisevidencing
공식 코드https://github.com/saic-fi/sslight
공식 코드Effective Self-supervised Pre-training on Low-compute Networks without Distillation
https://github.com/saic-mdal/HiDT
공식 코드https://github.com/saic-violet/bilayer-model
공식 코드Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars
https://github.com/saiedalshahrani/egyptian-wikipedia-scanner
공식 코드https://github.com/saifkhichi96/ssbi-dataset
공식 코드https://github.com/sail-sg/anydoor
공식 코드Test-Time Backdoor Attacks on Multimodal Large Language Models
https://github.com/sail-sg/poolformer
공식 코드https://github.com/sail-sg/tec
공식 코드https://github.com/sainingzhang/uc-gs
공식 코드Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty
https://github.com/sakaridis/MGCDA
공식 코드https://github.com/sakharok13/x-ray-teacher-patching-tools
공식 코드https://github.com/salesforce/creativity_eval
공식 코드https://github.com/salesforce/ctrl-sum
공식 코드https://github.com/salesforce/diversesumm
공식 코드https://github.com/salesforce/edict
공식 코드EDICT: Exact Diffusion Inversion via Coupled Transformations
https://github.com/salesforce/lavis
공식 코드Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/salesforce/pb-ovd
공식 코드Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
https://github.com/salesforce/simplification
공식 코드SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages
https://github.com/salmank255/ROAD_Waymo_Baseline
공식 코드ROAD-Waymo: Action Awareness at Scale for Autonomous Driving
https://github.com/saltoricristiano/SF-UDA-3DV
공식 코드SF-UDA$^{3D}$: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection
https://github.com/samarth-robo/py-faster-rcnn
공식 코드https://github.com/samiksome/faster-rcnn.pytorch
공식 코드https://github.com/samuel-cerezo/SLAM-Render
공식 코드SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAM
https://github.com/samuelyu2002/ImVisible
공식 코드Street Crossing Aid Using Light-weight CNNs for the Visually Impaired
https://github.com/samuro95/gspnp
공식 코드https://github.com/samuro95/prox-pnp
공식 코드Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
https://github.com/samvadidar/rgbt
공식 코드https://github.com/samwilso/safe_official
공식 코드SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
https://github.com/sanchit2843/Indian_LPR
공식 코드https://github.com/sandeepsoni/semantic-progressiveness
공식 코드Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
https://github.com/sandipan211/ZSD-SC-Resolver
공식 코드Resolving Semantic Confusions for Improved Zero-Shot Detection
https://github.com/sanghoon/pva-faster-rcnn
공식 코드PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
https://github.com/sanghunpark/neural_crossbreed
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.